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This model is a fine-tuned version of microsoft/resnet-34 on the cifar10 dataset. It achieves the following results on the evaluation set:

Model description

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
1.3071	1.0	1563	0.9021	0.664	0	0	None
1.0605	2.0	3126	0.6188	0.759	0.4820	0.4820	None
0.9232	3.0	4689	0.5637	0.78	0.4638	0.4638	None
0.8288	4.0	6252	0.4544	0.836	0.4062	0.4062	None
0.7657	5.0	7815	0.4087	0.846	0.3957	0.3957	None
0.7128	6.0	9378	0.3632	0.861	0.3791	0.3791	None
0.6764	7.0	10941	0.3521	0.872	0.3653	0.3653	None
0.6419	8.0	12504	0.3354	0.884	0.3502	0.3502	None
0.6108	9.0	14067	0.2890	0.895	0.3364	0.3364	None
0.5749	10.0	15630	0.2841	0.892	0.3407	0.3407	None
0.554	11.0	17193	0.2794	0.893	0.3396	0.3396	None
0.5309	12.0	18756	0.2615	0.901	0.3290	0.3290	None
0.5065	13.0	20319	0.2496	0.906	0.3224	0.3224	None
0.4798	14.0	21882	0.2532	0.893	0.3403	0.3403	None
0.469	15.0	23445	0.2496	0.894	0.3391	0.3391	None
0.4373	16.0	25008	0.2338	0.904	0.3256	0.3256	None
0.4242	17.0	26571	0.2514	0.854	0.3914	0.3914	None
0.4149	18.0	28134	0.2415	0.856	0.3891	0.3891	None
0.3832	19.0	29697	0.2304	0.867	0.3752	0.3752	None
0.3754	20.0	31260	0.2295	0.857	0.3882	0.3882	None